Description
“Machine Learning and Deep Learning A-Z: Hands-On Python” is a course published by Udemy that focuses on understanding and applying modern machine learning and deep learning techniques using Python. In this course, you will explore the fundamentals of data preparation, feature engineering, model training, and evaluation, while learning to use popular Python libraries to build intelligent applications. Key machine learning concepts—such as regression, classification, clustering, and model evaluation—are covered alongside deep learning basics like neural networks, activation functions, and training algorithms. You will also become familiar with algorithms such as linear regression, logistic regression, K-Nearest Neighbors, decision trees, random forests, Support Vector Machines (SVM), K-Means clustering, hierarchical clustering, Principal Component Analysis (PCA), and recommendation systems. Through hands-on exercises and practical examples, you will learn how to work with datasets, identify hidden patterns, make predictions, and build models that solve real-world problems.
Additionally, you will use Matplotlib for data visualization and the Scikit-Learn library to implement algorithms, while gaining insight into concepts like cross-validation and the bias-variance tradeoff. Furthermore, you will learn how to select the appropriate algorithm, improve model performance, and understand the strengths and limitations of various approaches. Today, machine learning is applied across numerous fields—including medical diagnosis, facial recognition, weather forecasting, and image processing—enabling data scientists to uncover hidden patterns within vast amounts of raw data to solve real-world problems. Thanks to its simple syntax and widespread industrial adoption, Python is the most popular language for machine learning and data science, with engineers frequently using it alongside Jupyter Notebooks. This course introduces the two primary categories of machine learning—supervised and unsupervised learning—and explores their respective applications. Whether you are a beginner entering the field of artificial intelligence, a professional looking to expand your technical skills, or an aspiring data scientist, this course provides a solid foundation for exploring machine learning, deep learning, and data-driven problem-solving using Python.
What you will learn in Machine Learning and Deep Learning A-Z: Hands-On Python:
- Machine learning isn’t just useful for predictive texting or smartphone voice recognition.
- Learn Machine Learning with Hands-On Examples
- What is Machine Learning?
- Machine Learning Terminology
- Evaluation Metrics for Python machine learning, Python Deep learning
- and …
Course specifications
Publisher: Udemy
Instructors: Oak Academy, OAK Academy Team and Ali̇ CAVDAR
Language: English
Level: Introductory to Advanced
Number of Lessons: 116
Duration: 18 hours and 14 minutes
Course topics
Machine Learning and Deep Learning A-Z: Hands-On Python Prerequisites
Basic knowledge of Python Programming Language
Be Able To Operate & Install Software On A Computer
Free software and tools used during the course
Determination to learn and patience.
Desire to master on python, machine learning a-z, deep learning a-z
Motivation to learn the the second largest number of job postings relative program language among all others
Data visualization libraries in python such as seaborn, matplotlib
Learn to create Machine Learning and Deep Algorithms in Python Code templates included.
Pictures
Machine Learning and Deep Learning A-Z: Hands-On Python introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
3.5 GB